Blind separation of sources with finite rate of innovation

We propose a method for recovering the parameters of periodic signals with finite rate of innovation sampled using a raised cosine pulse. We show that the proposed method exhibits the same numerical stability as existing methods of its type, and we investigate the effect of oversampling on the performance of our method in the presence of noise. Our method can also be applied to non-periodic signals and we assess the efficacy of signal recovery in this case. Finally, we show that the problem of cochannel QPSK signal separation can be converted into a general finite rate of innovation framework, and we test the effectiveness of this approach.